Simplifying line charts for responsive displays typically applies a single algorithm uniformly across devices, despite the availability of multiple techniques that preserve different signal characteristics (e.g., peaks, trends, periodicity). We investigate whether users benefit from algorithmic choice when adapting charts across screen sizes. In a within-subjects study (N=30), participants simplified nine datasets under three conditions: single pre-assigned technique (C1), multiple techniques (C2), and multiple techniques with manual point selection (C3), each with control over simplification level. We found that users adapted technique selections across datasets rather than devices, leveraging dataset-level strategies rather than per-device optimization. Additionally, interaction complexity did not always increase engagement uniformly, suggesting that responsive simplification tools should balance algorithmic flexibility with progressive disclosure and strong defaults. Supplemental materials are available at https://osf.io/yjp76/?view_only=b77b5e97f0cc4f689fbf48ad0d965af3.

翻译：为适应响应式显示而对折线图进行简化时，通常在不同设备上统一应用单一算法，尽管已有多种能保留不同信号特征（例如峰值、趋势、周期性）的技术可用。我们探究了在不同屏幕尺寸间调整图表时，用户是否能从算法选择中获益。在一项受试者内研究（N=30）中，参与者对九个数据集进行了简化，实验条件包括：单一预分配技术（C1）、多种技术（C2）、以及多种技术配合手动选点（C3），每种条件下用户均可控制简化程度。我们发现，用户会根据数据集而非设备来调整技术选择，采用基于数据集的策略而非逐设备优化。此外，交互复杂性并不总是均匀地增加用户参与度，这表明响应式简化工具应在算法灵活性与渐进式呈现及强默认设置之间取得平衡。补充材料可于https://osf.io/yjp76/?view_only=b77b5e97f0cc4f689fbf48ad0d965af3获取。